Manpower planning is concerned with planning the use of human resources.
In this thesis, manpower planning is defined as the process of
determining manpower policies which ensure that suitable numbers of
qualified people are in appropriate positions at the right times in
order to meet organisational goals, while taking account of the career
development opportunities of the individuals within the organisation.
A number of different mathematical models have been developed for
manpower planning. These models are reviewed and it is noted that a
weakness of the optimisation models which have been proposed is that
promotion rates, i.e. the proportion of staff promoted per year, can
vary substantially from year to year because of the limitations of the
techniques used. Since staff morale is likely to be affected if
promotion rates vary significantly from one year to another, the results
from these models may be unacceptable to management. In this thesis a
mixed integer programming (MIP) manpower planning model is developed for
determining minimum cost manpower policies in which promotion rates
remain stable over time, and which satisfy specified staffing level
requirements. In this MIP model promotion rates are treated as decision
variables by using a binary variable representation. An iterative
procedure is developed for solving this MIP model.
The computational aspects of using the MIP manpower planning model are
investigated. A demonstration decision support system based on this MIP
model is developed, and the use of this system is illustrated using representative data for a military manpower system. The experience with
this demonstration system suggests that the approach could be developed
to produce a practical tool to aid management decision making.